Saturday 1 July 2023

indicator for trading

import pandas as pd import numpy as np def bank_nifty_option_trading_indicator(data): """ This function returns an indicator for Bank Nifty option trading in 5 minutes time frame. Args: data: A Pandas DataFrame of Bank Nifty option prices. Returns: A Pandas DataFrame of the indicator values. """ # Calculate the moving average of the price over the past 5 minutes. moving_average = np.mean(data['Close'], 5) # Calculate the Bollinger bands of the price over the past 5 minutes. upper_band = moving_average + 2 * np.std(data['Close'], 5) lower_band = moving_average - 2 * np.std(data['Close'], 5) # Calculate the RSI of the price over the past 5 minutes. rsi = 100 - (100 / (1 + np.mean(np.diff(data['Close']) / data['Close']))) # Create a DataFrame of the indicator values. indicator = pd.DataFrame({ 'Moving average': moving_average, 'Bollinger bands upper': upper_band, 'Bollinger bands lower': lower_band, 'RSI': rsi }) # Return the DataFrame. return indicator if __name__ == '__main__': # Get the data. data = pd.read_csv('bank_nifty_option_prices.csv') # Calculate the indicator. indicator = bank_nifty_option_trading_indicator(data) # Print the indicator. print(indicator)

Friday 2 June 2023

Used Car Price Calculator

Car Lease Calculator

Car Lease Calculator

Thursday 13 April 2023

Voice Recording in bubble

Voice Bubbles

You tube video downloader

YouTube Video Downloader

YouTube Video Downloader

Wednesday 12 April 2023

Car transport quote